Kedis ku xidhan hagaha · Dhexdhexaad Heerka

Kediska Nidaamyada Talo-bixinta AI

Dib u eeg hababka talo bixinta, shaandhaynta wada shaqaynta iyo nuxurka, samaynta matrixka, nidaamyada isku-dhafan, iyo khataraha ka-qaybgalka.

Wadooyinka haga ee la xidhiidhaNidaamyada Talo-bixinta AI
Su'aal 1 ee 8

Maxay 'shaandhaynta iskaashiga' ku tiirsan tahay inay soo jeediyaan talooyin?

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  1. Maxay 'shaandhaynta iskaashiga' ku tiirsan tahay inay soo jeediyaan talooyin?
    • Qaababka isticmaaleyaal badan oo leh dhadhan isku mid ah
    • Sharaxaada qoraalka ee shay kasta kaliya
    • Qiimaha alaabta
    • Liiska 10-ka sare ee tifaftirka go'an
  2. Shaandhaynta ku salaysan nuxurka waxay ku talinaysaa alaabta inta badan:
    • Muunad random ah ee buug-yaraha
    • Ku habboon sifooyinkaagii hore
    • Tirinta wadarta iibka caalamiga ah
    • Weydiinta isticmaalayaasha kale inay codeeyaan
  3. What did the Netflix Prize seek to improve by 10% over the Cinematch baseline?
    • Click-through rate for every recommended film
    • The number of films watched per user
    • Root mean squared error (RMSE) on the competition’s held-out ratings
    • A user’s average watch time on the service
  4. Matrix-ka-soo-saarista, isticmaaleyaasha iyo walxaha waxa loo metelaa sida:
    • Kaliya haa/maya calan
    • Dulucda qoraalka cad
    • Taariikhaha jadwalka
    • Waxyeellooyinka 'sirdoonka qarsoon'
  5. What mechanism did the Deep Interest Network paper propose for modeling a user’s different interests across candidate ads?
    • A local activation unit that forms a candidate-specific interest representation
    • A fixed user vector that is identical for every candidate
    • A rule that selects only the most popular ad
    • A graph algorithm that proves every ad is relevant
  6. La taliye 'hybrid' waa mid:
    • Kaliya shaqeeya maalmaha axada
    • Wuxuu isku daraa hababka iskaashiga iyo nuxurka ku salaysan
    • Wax xog ah ma isticmaalo
    • Waxa ay ku talinaysaa kaliya alaabta cusub
  7. What is one limitation of collaborative filtering for a new item with no interactions?
    • It cannot use ratings
    • It requires item descriptions only
    • It may lack the interaction data needed to recommend the item
    • It always recommends every new item
  8. What should a recommender evaluation measure besides click-through rate?
    • Kaliya tirada qiyaasaha moodelka
    • Only training loss
    • Only the number of recommendations
    • User outcomes and harms such as diversity, exposure, or unwanted engagement